Program 03 · Course 02

Business Statistics

Menggunakan statistical reasoning, probability, sampling, estimation, hypothesis testing, regression dan forecasting untuk menjawab persoalan bisnis, mengevaluasi uncertainty dan menghasilkan evidence-based professional decisions.

Course Profile

Business Statistics menjadi quantitative foundation bagi analytics, management accounting, finance, audit, assurance dan business decision making. Peserta tidak hanya menghitung statistik, tetapi harus mampu memilih metode, menilai asumsi, menggunakan software, menginterpretasikan output, dan mempertanggungjawabkan keputusan.

Program Outcomes PO3 · PO4 · PO6 · PO7 · PO10 · PO11
Primary Capability PC5 Business Statistics & Analytics
Supporting Capabilities PC2 · PC3 · PC6 · PC10 · PC11

Course Outcomes

Setelah menyelesaikan course, peserta harus mampu menggunakan statistical evidence secara tepat untuk menjawab persoalan bisnis dan menjelaskan batasan analisisnya.

CO1
Organize, summarize and visualize business data using appropriate descriptive statistical methods.
CO2
Apply probability concepts and probability distributions to evaluate business uncertainty and decision risk.
CO3
Design and evaluate sampling procedures, sampling distributions and statistical estimates for business populations.
CO4
Formulate and perform hypothesis tests and interpret statistical significance together with practical business significance.
CO5
Apply correlation and regression methods to explain relationships, estimate effects and support prediction.
CO6
Apply time-series and forecasting methods and evaluate forecast accuracy for planning and business decisions.
CO7
Use IBM SPSS Statistics or equivalent analytical tools to perform statistical analysis and correctly interpret outputs.
CO8
Critically evaluate statistical and AI-generated conclusions for assumptions, bias, uncertainty and decision relevance.

Modules

Modules bergerak dari statistical thinking menuju inferential analysis, predictive relationships, forecasting dan professional interpretation.

M1
Statistical Thinking for Business Decisions
M2
Data, Measurement, Descriptive Statistics and Visualization
M3
Probability and Business Uncertainty
M4
Random Variables and Probability Distributions
M5
Sampling, Sampling Distributions and Estimation
M6
Hypothesis Testing for Business Decisions
M7
Correlation and Simple Regression
M8
Multiple Regression and Model Interpretation
M9
Analysis of Variance and Categorical Data
M10
Time Series and Business Forecasting
M11
IBM SPSS Statistics for Business Analysis
M12
Statistical Judgment, AI-Assisted Analysis and Decision Communication

Required Textbooks & Analytical Resources

Textbook statistik memberikan fondasi metode. Software digunakan untuk pelaksanaan analisis, sedangkan professional judgment digunakan untuk menilai apakah hasil statistik layak digunakan sebagai dasar keputusan.

Required Textbook

Statistics for Business & Economics

Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams. 15th Edition. Cengage, 2024 (published 2023). ISBN 978-0-357-71599-4. Menjadi textbook utama untuk descriptive statistics, probability, sampling, estimation, hypothesis testing, regression dan forecasting.

Required Software Practice Text

Discovering Statistics Using IBM SPSS Statistics

Andy Field. 6th Edition. SAGE Publications Ltd. Digunakan sebagai practical companion untuk pemilihan statistical procedure, penggunaan IBM SPSS Statistics, interpretation of output, diagnostics dan statistical reasoning.

Required Analytical Platform

IBM SPSS Statistics

Digunakan untuk data management, descriptive statistics, hypothesis testing, correlation, regression, ANOVA dan analisis statistik lain yang digunakan pada business cases.

Recommended Textbook

Statistics for Business and Economics

James T. McClave, P. George Benson, Terry T. Sincich. 14th Edition. Pearson, 2022. ISBN 978-0-13-733542-8. Referensi tambahan untuk statistical inference, real-data analysis dan data-driven decision making.

Assessment Plan

Assessment menggunakan dataset bisnis nyata atau realistis. Peserta harus memilih metode, melakukan analisis menggunakan software, menafsirkan output, mengevaluasi uncertainty, dan menyampaikan keputusan profesional.

Business Question
Data
Statistical Method
SPSS Analysis
Business Decision

Authentic Professional Task

Peserta menerima dataset perusahaan, misalnya sales, cost, customer, operational, financial atau performance data. Peserta harus merumuskan pertanyaan bisnis, memeriksa kualitas data, memilih metode statistik, melakukan analisis menggunakan IBM SPSS Statistics, mengevaluasi asumsi, menginterpretasikan hasil, membandingkan hasil dengan output AI, dan membuat management recommendation yang didukung statistical evidence.

Course Attainment

Pencapaian course ditentukan berdasarkan evidence bahwa peserta mampu memilih, melaksanakan, menginterpretasikan dan mempertanggungjawabkan analisis statistik, bukan hanya memperoleh jawaban numerik yang benar.

Statistical Knowledge Concepts, assumptions, methods and uncertainty.
Analytical Performance Data preparation, SPSS execution and output interpretation.
Professional Judgment Method selection, critical evaluation and business recommendation.